Machine Learning courses

1003 Courses

Digital Classroom - Generative AI for Executives

Digital Classroom - Generative AI for Executives Generative AI for Executives will teach you how to leverage the power of generative AI to drive real business value. You'll start by recognizing the potential of these new AI technologies and identifying specific use cases you can implement right away. From there, you'll cover best practices for usi.
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Introduction to AI-Native Vector Databases

Introduction to AI-Native Vector Databases | LinkedIn Learning Discover how to enhance data systems using artificial intelligence with LinkedIn Learning's course, "Introduction to AI-Native Vector Databases." This course is tailored for data and AI professionals keen on optimizing their data storage and retrieval processes through adva.
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AI and the Future of Work: Workflows and Modern Tools for Tech Leaders

AI and the Future of Work: Workflows and Modern Tools for Tech Leaders Explore the integration of machine learning operations in your business. Unveil the potential of machine learning and navigate through its challenges. This comprehensive course offered by LinkedIn Learning will equip tech leaders with the skills to harness modern tools and wo.
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AI Projects with Python, TensorFlow, and NLTK

AI Projects with Python, TensorFlow, and NLTK Supercharge your technical know-how and start building AI projects using Python, TensorFlow, and NLTK. This course, provided by LinkedIn Learning, delves into the essential tools and technologies for AI development. University: Provider Provider: LinkedIn Learning Artificial Intelligence Courses.
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Foundational AI Skills for Azure Administration

Foundational AI Skills for Azure Administration | LinkedIn Learning Build foundational Azure skills in generative AI and predictive AI. Grasp core concepts and explore generative AI cloud services and use cases. Gain hands-on experience with the Microsoft Azure ecosystem and develop essential skills for deploying AI solutions. Learn to apply eth.
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Introduction to MLSecOps

Introduction to MLSecOps | LinkedIn Learning Join our comprehensive course, Introduction to MLSecOps, presented by LinkedIn Learning. Enhance your understanding of embedding security into the lifecycles of machine learning and AI. This specialized course is ideal for professionals seeking to merge cybersecurity principles with their ma.
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Built-in Machine Learning in the Wolfram Language

Built-in Machine Learning in the Wolfram Language University: Provider: LinkedIn Learning Categories: Artificial Intelligence Courses, Machine Learning Courses, Data Analysis Courses, Wolfram Language Courses
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Ya Xu: How to Turn AI from a Buzz Word to a Business Tool

Ya Xu: How to Turn AI from a Buzz Word to a Business Tool | LinkedIn Learning Ya Xu: How to Turn AI from a Buzz Word to a Business Tool Explore the opportunities and challenges presented by AI with Ya Xu, the head of data and AI at LinkedIn. This LinkedIn Learning course delves into practical approaches to integrating AI.
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PyTorch for Deep Learning

PyTorch for Deep Learning Learn PyTorch and become a proficient Deep Learning Engineer. This PyTorch course is a step-by-step guide designed to help you develop your own deep learning models. The curriculum includes essential topics such as Computer Vision, Neural Networks, and much more.
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More and more products are now being developed using artificial intelligence. To avoid being left on the sidelines of progress, managers must understand how the robot’s “brains” work

Artificial intelligence (AI) and machine learning technologies have been used for many years, but now the intensity of their use has increased significantly. For example, machine learning is being actively implemented in telecommunications, retail, marketing and e-commerce. But many still do not fully understand what it is.

Machine learning involves the system processing a large number of examples, during which it identifies patterns and uses them to predict the characteristics of new data. In other words, this is the process of giving AI ml courses “consciousness”, the ability to remember and analyze.

Machine learning use cases

The use of machine learning has touched many areas in our lives. Let's look at the most striking examples of the use of computer intelligence:

Facial recognition in the subway will help identify violators or criminals in a huge mass of people. Ordinary observers cannot cope with this task. But a fast-learning machine will do this job without any problems.

What do you need for machine learning (ML)?

For those interested in training, there are several requirements to be met in order to be successful in this field. So, there are the main points you need to know about the machine learning course. These requirements include:

  1. Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

  2. Average knowledge of statistics and probability.

  3. Basic knowledge of linear algebra in the ml course. In a linear regression model, a line is drawn through all the data points, and that line is used to calculate new values.

  4. Understanding Calculus.

  5. Knowledge of how to clean and structure raw data into the desired format to reduce the time required for decision making.

Machine learning courses from AI Eeducation are the best choice!